AI RESEARCH
Generalization Bounds for Physics-Informed Neural Networks for the Incompressible Navier-Stokes Equations
arXiv CS.LG
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ArXi:2603.23072v1 Announce Type: new This work establishes rigorous first-of-its-kind upper bounds on the generalization error for the method of approximating solutions to the (d+1)-dimensional incompressible Navier-Stokes equations by